[HTML][HTML] A method for improving bot effectiveness by recognising implicit customer intent in contact centre conversations

Ł Pawlik, M Płaza, S Deniziak, E Boksa - Speech Communication, 2022 - Elsevier
Contact centre systems are increasingly using intelligent voicebots and chatbots. These
solutions are constantly evolving and improving. One of the main tasks of a virtual assistant …

Machine learning algorithms for detection and classifications of emotions in contact center applications

M Płaza, S Trusz, J Kęczkowska, E Boksa, S Sadowski… - Sensors, 2022 - mdpi.com
Over the past few years, virtual assistant solutions used in Contact Center systems are
gaining popularity. One of the main tasks of the virtual assistant is to recognize the intentions …

A multi-label text message classification method designed for applications in call/contact centre systems

K Poczeta, M Płaza, T Michno, M Krechowicz… - Applied Soft …, 2023 - Elsevier
This paper presents a system for multi-label classification of text data processed in
Call/Contact Centre (CC) systems. The solution presented herein constitutes a significant …

Emotion recognition method for call/contact centre systems

M Płaza, R Kazała, Z Koruba, M Kozłowski… - Applied Sciences, 2022 - mdpi.com
Nowadays, one of the important aspects of research on call/contact centre (CC) systems is
how to automate their operations. Process automation is influenced by the continuous …

[HTML][HTML] A resource-bound critical analysis of the decarbonisation roadmaps for the UK foundation industries by 2050

H Hafez, MP Drewniok, APM Velenturf, P Purnell - Environments, 2024 - mdpi.com
The foundation industries in the UK were responsible for emitting 42 Mt CO2eq in 2020,
which is approximately 10% of the yearly territorial greenhouse gas emissions. The UK …

Analysis of the retraining strategies for multi-label text message classification in call/contact center systems

K Poczeta, M Płaza, M Zawadzki, T Michno… - Scientific Reports, 2024 - nature.com
Today, in many areas of technology, we can come across applications of various artificial
intelligence methods. They usually involve models trained on some specific pool of learning …

Code-Switched Urdu ASR for Noisy Telephonic Environment using Data Centric Approach with Hybrid HMM and CNN-TDNN

MD Khan, R Ali, A Aziz - arXiv preprint arXiv:2307.12759, 2023 - arxiv.org
Call Centers have huge amount of audio data which can be used for achieving valuable
business insights and transcription of phone calls is manually tedious task. An effective …

Information and communication technology as an enabler to contact centre service delivery: A case of a public sector

SP Mabotja, SS Mkhomazi - South African Journal of Information …, 2024 - journals.co.za
Background The contact center industry is one of the world's fastest expanding, and it has
become a vital basis for businesses communicating with clients, whether through …

Structured vocabulary specific to power operation control centers

AC Floriano, SL Avila, RC Fernandes - Energy Systems, 2024 - Springer
The power operation sector is facing an evolution regarding the adoption of new
technologies that, although necessary and unavoidable, add operational complexity to the …

[PDF][PDF] Classification of Call Transcriptions

MI Sulman Malik, HM Danish, A Ahmad, S Khalid… - 2023 - researchgate.net
Multi-labeled call transcription classification is essential for public and private sector
organizations, as they spend a lot of time and workforce manually classifying phone call …